M. Markkanen

Statistics and Probability · 2016

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom M. Markkanen trusts

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Andrew M. Stuart (in Statistics and Probability)
  2. Mark A. Girolami (in Statistics and Probability)
  3. David Bolin (in Environmental Engineering)
  4. Maurizio Filippone (in Statistics and Probability)
  5. Christopher J. Paciorek (in Artificial Intelligence)
  6. Mark J. Schervish (in Artificial Intelligence)
  7. Jonas Wallin (in Environmental Engineering)
  8. Matti Lassas. Eero Saksman (in Computational Mechanics)
  9. Samuli Siltanen (in Computational Mechanics)

Papers from M. Markkanen's perspective

Ordered by how strongly the researchers M. Markkanen trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Gaussian Markov Random Fields: Theory and Applications
  2. A General Framework for the Parametrization of Hierarchical Models
  3. Inverse problems: A Bayesian perspective (Acta Numerica)
  4. Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations
  5. Geostatistical Modelling Using Non‐Gaussian Matérn Fields
  6. Pseudo-Marginal Bayesian Inference for Gaussian Processes
  7. Spatial modelling using a new class of nonstationary covariance functions (Environmetrics)
  8. MCMC Methods for Functions: ModifyingOld Algorithms to Make Them Faster
  9. Whittle-Matérn priors for Bayesian statistical inversion with applications in electrical impedance tomography
  10. Statistical and Computational Inverse Problems (Technometrics)

Their papers